With the 2020 elections marred by legal challenges and fraud allegations, some have used statistical analysis to try to determine if foul play was involved. In several states, analyses of election data indeed show statistically odd phenomena in the tallies of votes for the Democratic candidate, former Vice President Joe Biden.
One of the most common arguments is that in some localities, vote counts for Biden violate Benford’s Law.
In simple terms, the law states that in many real-world data sets, such as demographic data, geographical data, or even sports statistics, the first digit of the numbers will more likely be 1 than 2, and 2 more likely than 3, etc. following logarithmic scale. If the first-digit distribution significantly diverges from this rule, it could be evidence of artificial manipulation of the data.
The law has been used to identify fraudulent financial records and other illegal activities. Walter Mebane, a political science professor at the University of Michigan, used the law to back ballot-stuffing allegations in the 2009 Iran election (pdf). Some researchers also used the law to check for irregularities in the 2016 election in Wisconsin (pdf).
One GitHub user posted an analysis of the 2020 election results in Fulton County, Georgia; Miami-Dade, Florida; Milwaukee; Chicago; and Allegheny County, Pennsylvania.
While the result in Georgia and Florida generally adhered to Benford’s Law, there were significant deviations in votes for Biden in Wisconsin, Illinois, and Pennsylvania.
One Twitter user went deeper on the Milwaukee analysis and found that in many city wards, votes counted after 3 a.m. on Nov. 4 went to Biden by a much larger margin than those counted before. Sometimes, the difference was as high as 40 percentage points.
Milwaukee’s county clerk didn’t immediately respond to a request by The Epoch Times for comment regarding the discrepancy. Wisconsin is headed for a recount, showing Biden slightly ahead.
Another internet sleuth noticed that in Pennsylvania, nearly 10,000 votes were removed from President Donald Trump’s count at around 9 p.m. on Nov. 4. He said the losses came from three counties: Allegheny (-1,063 votes), Bucks (-2,972 votes), and Chester (-7,135 votes).
Then, around 9 a.m. on Nov. 6, more than 27,000 votes were added to the count, nearly all of them to Biden, he said.
The office of Pennsylvania Secretary of State didn’t immediately respond to questions about the anomalies. While Biden is ahead in the state, Trump has challenged the results in court.
The tally in Michigan, where Biden is ahead by a small margin, also seems to be statistically peculiar.
Around 5 a.m. on Nov. 4, data firm Decision Desk HQ updated the vote count for Michigan, adding 138,339 votes to Biden, but zero to Trump. The statistical impossibility of such a scenario prompted people to speculate that votes were illegally injected into the tally.
Within 40 minutes, Decision Desk HQ posted another update that subtracted 110,796 votes from Biden’s total and added 16,638 to Trump’s. It later said a “clerical error” in Shiawassee County caused the distribution of incorrect data and has since been fixed.
At 5:54 a.m. and 6:05 a.m., the firm posted two more updates for the Michigan race that didn’t appear to show anything unusual.
Then, at 6:18 a.m., the firm posted another update, which added 158,902 votes to the Biden tally and 29,295 votes to Trump’s. Those votes split roughly 85 percent for Biden—an exceptionally high ratio.
One explanation could be that those votes came from a deep-blue county and only included absentee ballots, which were expected to heavily favor Democrats.
However, even absentee ballots in Washtenaw County, which went for Biden by the largest margin, split in his favor by less than 82 percent. In addition, the candidate only picked up 125,927 absentee votes there, so many would have had to have come from another county less favorable to Biden.
A spokeswoman for the Michigan Secretary of State didn’t respond to questions about these votes.